This paper describes a statistical methodology ibr automatically retrieving collocations from POS tagged Korean text using interrupted bi- grams. The free order of Korean makes it hard to identify collocations. We devised four statis- tics, 'frequency', 'randomness', 'condensation', and 'correlation'.to account for the more flexible word order properties of Korean collocations. We extracted meaningful bigrams using an eval- uation ihnction and extended the bigrams to n-gram collocations by generating equivalence sets, a-covers. We view a modeling problem for n-gram collocations as that for clustering of co- hesive words.

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